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Comparison on Various Pixel based Image Fusion Techniques

Author(s):

Vaidya Vishmay M. , C.G.Patel Institute of Technology, Uka Tarsadia University, Bardoli; Patel Vibha A., C.G.Patel Institute of Technology, Uka Tarsadia University, Bardoli

Keywords:

Image Fusion, Multifocus Image, Simple Pixel Method, Principal Component Analysis, Discrete Wavelet Transform

Abstract

As the optical lenses in Charged Couple devices (CCD) have limited depth-of focus, it is regularly impossible to obtain an image in which all relevant objects are in focus. To achieve all interesting objects in focus, several CCD images, each of which contains some part of the objects in focus, are required. If multiple images of the same scene are available, this can be achieved by image fusion. Image fusion is the process by which two or more images are combined into a single image retaining the important features from each of the original images. The objective in image fusion is to reduce uncertainty and minimize redundancy in the output while maximizing relevant information particular to an application or task. Important applications of the fusion of images include medical imaging, microscopic imaging, remote sensing, computer vision, and robotics. Fusion techniques include in this paper are simplest method of pixel averaging to more complicated methods such as principal component analysis and wavelet transform fusion. Main focus of this paper to perform comparative analysis on various pixel based image fusion techniques on the basis of various performance metrics, in order to check the quality of a fused image

Other Details

Paper ID: IJSRDV2I2311
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 868-871

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